qurit/STIR_Tutorial

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Created about 2 years ago
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qurit/STIR_Tutorial

qurit

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rt-utils

A minimal Python library to facilitate the creation and manipulation of DICOM RTStructs.

PyTomography

This repository enables easy and fast medical image reconstruction in Python.

xcat-sims

awesome-qurit

A curated list of awesome tools and resources used at Qurit.

Tensor_Radiomics

Radiomics features (RFs) extract quantitative information from medical images, towards the derivation of biomarkers for clinical tasks such as diagnosis, prognosis, or treatment response assessment. Different image discretization parameters (e.g. bin number or size), convolutional filters, or multi-modality fusion levels can be used to generate radiomics signatures. Commonly, only one set of parameters is used; resulting in only one value or ‘flavour’ for a given RF. We propose ‘tensor radiomics’ (TR) where tensors of features calculated with multiple combinations of parameters (i.e. flavours) are utilized to optimize the construction of radiomics signatures.

slicer_spect_recon

3d slicer extension for pytomography to enable easy reconstruction of SPECT images

PyTheranostics

PyTheranostics is a tool to help researchers develop and implement tools for personalized procedures in radiotheranostics.

PyTomography_paper_code

Collection of scripts used to obtain paper for PyTomography paper.

Jupyter Notebook

SIMIND_Simulations

Jupyter Notebook

datasets

prostate_segmentation

Code for Prostate Lesion Segmentation in PSMA PET-CT Using Deep Learning project.

dicom_nifti_conversion_project

Jupyter Notebook

hecktor_2022

All code from members in the Qurit group working on the Hecktor 2022 challenge

Brain-PET-sim-recon

C/Matlab-based PET simulation and reconstruction software that enables realistic brain simulations.